AI Engineer
Core
Design and build internal AI-powered tools to automate engineering, manufacturing, and operational workflows, integrating AI with engineering software and operational systems.
Role type
Applied AI Engineer (Industrial Operations)
Builds
AI tools, dashboards, reporting tools, data pipelines, and predictive/optimization solutions for engineering and field operations.
Domain
Industrial engineering, manufacturing, robotics, and field operations
Deliverable
production ML models
Required skills
Python, LLM APIs, machine learning frameworks, SQL, Pandas, statistical modeling, API integration, data pipeline development
Preferred skills
Industrial automation, PLCs, sensors, equipment telemetry, fluid systems, hydraulics, manufacturing processes, time-series data, predictive modeling, optimization algorithms, computer vision, CAD software, engineering simulations, modern web frameworks, cloud services
Responsibilities
Integrate AI tools with engineering software, databases, and APIs; analyze field and operational data to identify inefficiencies; develop and deploy ML, statistical, and LLM-based solutions; take projects from problem identification through deployment and iteration; collaborate with engineers, technicians, and operators to deliver practical solutions.
Seniority
Mid-level, hands-on IC
